Abstract
Signal-to-Noise Ratio (SNR) calculation in Magnetic Resonance (MR) experiments requires the knowledge of biological sample-induced resistance value. Many authors studied sample?coil interaction by using quasi-static approach, with very simple coil and sample geometries; such method fails at high-field Magnetic Resonance Imaging (MRI). In this paper, we propose a theoretical algorithm for sample-induced resistance estimation, which uses a numerical solver based on Finite-Difference Time-Domain (FDTD) method for simulating MR systems. Comparison with experimental data demonstrated the great accuracy of the developed algorithm. The proposed method can be used as a tool to estimate sample-induced resistance values for more complex geometries.
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